Rein Houthooft

12 papers and 213 indexed citations i.

Rein Houthooft is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Rein Houthooft has authored 12 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Rein Houthooft’s work include Reinforcement Learning in Robotics (4 papers), Machine Learning and Data Classification (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Rein Houthooft is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Machine Learning and Data Classification (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Rein Houthooft collaborates with scholars based in Belgium and United States. Rein Houthooft's co-authors include Filip De Turck, Mario Pickavet, Didier Colle, Sahel Sahhaf and Wouter Tavernier and has published in prestigious journals such as Pattern Recognition, Networks and Artificial Intelligence in Medicine.